Results 21 to 30 of about 342,318 (248)

Dynamic Recommendation of POI Sequence Responding to Historical Trajectory

open access: yesISPRS International Journal of Geo-Information, 2019
Point-of-Interest (POI) recommendation is attracting the increasing attention of researchers because of the rapid development of Location-based Social Networks (LBSNs) in recent years.
Jianfeng Huang   +3 more
doaj   +1 more source

An annotated street view image dataset for automated road damage detection

open access: yesScientific Data
Road damage is a great threat to the service life and safety of roads, and the early detection of pavement damage can facilitate maintenance and repair.
Miao Ren   +4 more
doaj   +1 more source

Multi‐omic characterization of consensus molecular subtype 1 (CMS1) colorectal cancer with dampened immune response improves precision medicine

open access: yesMolecular Oncology, EarlyView.
This study highlights the importance of multi‐omic analyses in characterizing colorectal cancers. Indeed, our analysis revealed a rare CMS1 exhibiting dampened immune activation, including reduced PD‐1 expression, moderate CD8+ T‐cell infiltration, and suppressed JAK/STAT pathway.
Livia Concetti   +10 more
wiley   +1 more source

GKEEP: An Enhanced Graph‐Based Keyword Extractor With Error‐Feedback Propagation for Geoscience Reports

open access: yesEarth and Space Science, 2021
As the amount of published geoscience literature grows, reading and summarizing texts of large collections has become a challenging task. Publication keywords can be considered basic components of knowledge structure representations and have been used to
Qinjun Qiu   +3 more
doaj   +1 more source

YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Road pavement damage affects driving comfort markedly, threatens driving safety, and may even cause traffic accidents. The traffic management department conventionally captures pavement damage information mainly using manual and vehicle-mounted equipment,
Miao Ren   +4 more
doaj   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

A Coal Mine Tunnel Deformation Detection Method Using Point Cloud Data

open access: yesSensors
In recent years, the deformation detection technology for underground tunnels has played a crucial role in coal mine safety management. Currently, traditional methods such as the cross method and those employing the roof abscission layer monitoring ...
Jitong Kang   +5 more
doaj   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

Monthly electricity consumption data at 1 km × 1 km grid for 280 cities in China from 2012 to 2019

open access: yesScientific Data
High spatio-temporal resolution estimates of electricity consumption are essential for formulating effective energy transition strategies. However, the data availability is limited by complex spatio-temporal heterogeneity and insufficient multi-source ...
Xiaoqin Yan   +4 more
doaj   +1 more source

Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The spatiotemporal prediction of RZSM refers to the process of estimating its future spatial distribution and temporal variations using predictive models.
Tingtao Wu   +8 more
doaj   +1 more source

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